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Home/ Questions/Q 8486159
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Editorial Team
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Editorial Team
Asked: June 10, 20262026-06-10T20:51:59+00:00 2026-06-10T20:51:59+00:00

The code below appears to work – that is, fill an outer List with

  • 0

The code below appears to work – that is, fill an outer List with sub-Lists of incremental integers.

Am I just lucky?

I’m beng careful to pre-allocate “slots” and not cross over.

class Program
{
    static List<List<int>> allLists;

    static void Main(string[] args)
    {
        allLists = new List<List<int>>(553);

        for (int i = 0; i < 553; i++)
        {
            allLists.Insert(i, new List<int>());
        }

        Enumerable.Range(0, 552).AsParallel().ForAll((i) => InsertRange(i));
    }

    static void InsertRange(int index)
    {
        allLists[index] = Enumerable.Range(0, 7205).ToList();
    }
}

Is there ever a danger that one list will trash another?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-10T20:52:01+00:00Added an answer on June 10, 2026 at 8:52 pm

    Accessing different parts of an array in parallel is thread-safe in .Net. And since List<T> is backed by an array, I think your code should also be thread-safe.

    But I think you’re overcomplicating things. You can use PLINQ to generate all the inner lists and then use ToArray() to create the final array (or ToList(), if you really want to create List<T>). Since PLINQ has its own versions of Range() and ToArray() (and ToList()), I believe this will be also more efficient.

    So, I would rewrite your code like this:

    allLists = ParallelEnumerable.Range(0, 552)
        .AsOrdered()
        .Select(i => Enumerable.Range(0, 7205).ToList())
        .ToArray();
    

    Of course, this all makes sense only when parallelizing creating the inner lists will actually speed up your code, but you will have to measure that by yourself.

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